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Amazon EMR VS Universal Data Tool

Compare Amazon EMR VS Universal Data Tool and see what are their differences

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Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

Amazon EMR logo Amazon EMR

Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.

Universal Data Tool logo Universal Data Tool

Machine learning, data labeling tool, computer vision, annotate-images, classification, dataset
  • Amazon EMR Landing page
    Landing page //
    2023-04-02
  • Universal Data Tool Landing page
    Landing page //
    2021-09-10

The Universal Data Tool (UDT) is an open-source web or downloadable tool for labeling data for usage in machine learning or data processing systems.

The Universal Data Tool supports Computer Vision, Natural Language Processing (including Named Entity Recognition and Audio Transcription) workflows.

The UDT uses an open-source data format (.udt.json / .udt.csv) that can be easily read by programs as a ground-truth dataset for machine learning algorithms.

Amazon EMR videos

+ Add

Amazon EMR Masterclass

More videos:

  • Review - Deep Dive into What’s New in Amazon EMR - AWS Online Tech Talks
  • Tutorial - How to use Apache Hive and DynamoDB using Amazon EMR

Universal Data Tool videos

+ Add

Getting Started with Open-Source Contribution to the Universal Data Tool

More videos:

  • Tutorial - How to use text classification on the Universal Data Tool

Category Popularity

0-100% (relative to Amazon EMR and Universal Data Tool)

Amazon EMR

Universal Data Tool

Data Dashboard
100 100%
Data Dashboard
0% 0
Image Annotation
0 0%
Image Annotation
100% 100
Big Data
100 100%
Big Data
0% 0
Data Labeling
0 0%
Data Labeling
100% 100

User comments

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Social recommendations and mentions

Based on our record, Amazon EMR seems to be more popular. It has been mentiond 10 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Amazon EMR mentions (10)

  • 5 Best Practices For Data Integration To Boost ROI And Efficiency
    There are different ways to implement parallel dataflows, such as using parallel data processing frameworks like Apache Hadoop, Apache Spark, and Apache Flink, or using cloud-based services like Amazon EMR and Google Cloud Dataflow. It is also possible to use parallel dataflow frameworks to handle big data and distributed computing, like Apache Nifi and Apache Kafka. Source: over 1 year ago
  • What compute service i should use? Advice for a duck-tape kind of guy
    I'm going to guess you want something like EMR. Which can take large data sets segment it across multiple executors and coalesce the data back into a final dataset. Source: almost 2 years ago
  • Processing a large text file containing millions of records.
    This is exactly the kind of workload EMR was made for, you can even run it serverless nowadays. Athena might be a viable option as well. Source: about 2 years ago
  • How to use Spark and Pandas to prepare big data
    Apache Spark is one of the most actively developed open-source projects in big data. The following code examples require that you have Spark set up and can execute Python code using the PySpark library. The examples also require that you have your data in Amazon S3 (Simple Storage Service). All this is set up on AWS EMR (Elastic MapReduce). - Source: dev.to / over 2 years ago
  • Beginner building a Hadoop cluster
    Check out https://aws.amazon.com/emr/. Source: about 2 years ago
View more

Universal Data Tool mentions (0)

We have not tracked any mentions of Universal Data Tool yet. Tracking of Universal Data Tool recommendations started around Mar 2021.

What are some alternatives?

When comparing Amazon EMR and Universal Data Tool, you can also consider the following products

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

Labelbox - Build computer vision products for the real world

Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.

CrowdFlower - Enterprise crowdsourcing for micro-tasks

Google Cloud Dataproc - Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost

Supervisely - Supervisely helps people with and without machine learning expertise to create state-of-the-art...

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